Conference item
The Fisher Market Game: Equilibrium and Welfare.
- Abstract:
- The Fisher market model is one of the most fundamental resource allocation models in economics. In a Fisher market, the prices and allocations of goods are determined according to the preferences and budgets of buyers to clear the market. In a Fisher market game, however, buyers are strategic and report their preferences over goods; the market-clearing prices and allocations are then determined based on their reported preferences rather than their real preferences. We show that the Fisher market game always has a pure Nash equilibrium, for buyers with linear, Leontief, and Cobb-Douglas utility functions, which are three representative classes of utility functions in the important Constant Elasticity of Substitution (CES) family. Furthermore, to quantify the social efficiency, we prove Price of Anarchy bounds for the game when the utility functions of buyers fall into these three classes respectively.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
Actions
+ European Research Council
More from this funder
- Funding agency for:
- Zhang, J
- Grant:
- Advanced Grant 321171 (ALGAME
+ National Science Foundation of China
More from this funder
- Grant:
- 61061130540: SinoDanish Center for the Theory of Interactive Computation
+ Danish National Research Foundation
More from this funder
- Grant:
- SinoDanish Center for the Theory of Interactive Computation
- Publisher:
- Association for the Advancement of Artificial Intelligence
- Host title:
- AAAI 2014 Twenty-Eighth AAAI Conference on Artificial Intelligence
- Journal:
- AAAI 2014 Twenty-Eighth AAAI Conference on Artificial Intelligence More from this journal
- Volume:
- 1
- Pages:
- 587-593
- Publication date:
- 2014-06-21
- ISBN:
- 9781577356615
- Keywords:
- Pubs id:
-
pubs:489683
- UUID:
-
uuid:2fd213f0-eccf-48e9-80a1-762252a8e0c0
- Local pid:
-
pubs:489683
- Source identifiers:
-
489683
- Deposit date:
-
2016-05-16
Terms of use
- Copyright holder:
- Association for the Advancement of Artificial Intelligence
- Copyright date:
- 2014
- Notes:
- Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved. This is the accepted manuscript version of the article. The final version is available online from AAAI at: [http://www.aaai.org/ocs/index.php/AAAI/AAAI14/paper/view/8373]
If you are the owner of this record, you can report an update to it here: Report update to this record